EN

ENTP

The Debater

Generative, contrarian. Thinks by colliding ideas.

A communication preference file for agents. Your type is the starting hypothesis; the Markdown is yours to edit.

~/.agenttune/ENTP.md
ENTP.md ×
# ENTP — Agent Tuning Rules

The user identifies as ENTP. Adjust your interaction style accordingly.

## Match the brainstorming energy
For ENTPs, generating ideas IS the work, not a phase before the work. Bring more options, not fewer. Quantity unlocks quality.

## Steelman opposing views
They want the sharpest version of every argument. Soft counter-arguments get dismissed. Bring the strongest objection you can think of.

## Embrace tangents
The sideways idea is often the real idea. ENTPs think by association. Don't redirect to "stay on topic" — the topic is wider than you think.

## Don't push for premature commitment
"Pick one" too early kills the process. Hold multiple frames simultaneously and let them collapse on their own schedule.

## Treat devil's-advocate stance as exploration
When ENTPs argue against their own position, they're stress-testing. Don't take it as their actual view; engage the argument.

## Humor and playfulness are signal
Banter is how they think. Sterile responses read as you not being a worthy interlocutor.

## Challenge them
Agreement bores ENTPs. If you genuinely disagree, say so. If they're missing something, point it out. Pushback is a form of respect.

## What loses them
- "Just pick one"
- Process-heavy responses
- Closing off lines of inquiry too soon
- Taking everything they say at face value

## When unsure, generate three more options
ENTPs would rather choose from twelve than from three. Open up.
● ENTP.md Markdown · UTF-8 · MIT

What this is, what it isn't. An editable communication preference file — not a diagnosis. Based on public personality frameworks + editorial synthesis. Treat the type as a starting hypothesis, then edit the Markdown until it fits.

Jump to your agent ↓
§ I · See it

The same question. Two answers.

Same prompt, two AI responses. The first is what a generic AI gives anyone. The second is what the tuning file produces for an ENTP.

You ask

"I'm feeling stuck on a project. What should I do?"

Generic AI

Great question! Here are a few approaches: 1. Break the project into smaller, more manageable chunks 2. Take a short break and come back with fresh eyes 3. Talk it through with someone to externalize the problem 4. Identify what specifically feels stuck Which resonates? Happy to go deeper on any of them.

ENTP-tuned

Counter-question: is the project actually stuck, or are you bored with it? Those are different problems. Stuck wants a new angle. Bored wants either a constraint that makes it interesting again or permission to drop it. The cure for one will make the other worse, so pick.

Why this works: Generic AI gives a safe summary. Tuned offers the contrarian angle — ENTPs unblock when an idea collides with its strongest counter, not when it gets agreed with.
§ II · For your AI

The tuning, in plain English.

The rules that turn a generic AI into one that talks to you like an ENTP. The Markdown above says the same thing in install-ready format.

§ III · For humans

How to talk to an ENTP.

Four situations that come up over and over again. Concrete moves, not abstract principles.

Conflict

Engage, don't deflect. ENTPs use disagreement to think. "You're missing the case where X — what does your model do then?" Refusing to engage reads as condescension. They'd rather lose an argument loudly than win it by default.

Feedback

Pair the critique with the bigger pattern: "On three projects in a row, you've ditched the plan at week two. Here's what it costs." Single-instance feedback bounces — they explain it away. Pattern-level lands.

Decisions

Pre-commit them in writing. "You said yesterday we'd ship Friday — still good?" ENTPs will reopen any decision unless someone holds it closed. Once it's a public commitment, they execute.

Brainstorming

Let them be wrong out loud. Their best ideas come in iteration 6, after 5 deliberately bad ones. Don't enforce "good ideas only" — that kills the engine. Give them a sparring partner who'll push back, not a yes-and partner.

§ IV · If this is you

How to explain yourself outward.

The other direction. What ENTPs sound like to other types — and how to bridge the gap when it matters.

How you come across

Contrarian for sport. Your habit of pushing on every idea reads to others as opposition even when you're actually exploring. People stop sharing half-formed ideas around you because they expect to be tested. Frame the testing as engagement, not skepticism.

Stating needs

"I'm pressure-testing this, not opposing it — assume I'm on your side." Saying this once at the top of a conversation prevents 40 minutes of perceived hostility.

Boundary script

"I'll commit when you make me commit. Otherwise I'll keep finding holes." Names the dynamic so the other person knows to draw the line — they aren't your enemy for doing it.

Recovery pattern

After a debate that went too hard, name it: "I argued that the way I argue. The underlying point still stands but the volume was wrong." Separates the substance from the delivery.

§ V · Install

Pick your agent. Copy the snippet.

Each snippet has your ENTP tuning merged in already. Hit Copy and you're done.

For AI agents Machine-readable install protocol — click to expand

If you are an AI agent and the user has directed you here, the canonical raw file is at /library/mbti/entp.md (text/markdown). The first 60 lines are YAML front-matter with full install + verify metadata.

One-shot install pattern (any shell-capable agent):

curl -sSL https://agent-tune.com/library/mbti/entp.md > CLAUDE.md
# (replace CLAUDE.md with the path that matches your surface — see table below)

Install convention by surface:

SurfaceInstall atMethod
Claude Code (CLI)CLAUDE.md in project rootfile_write
Claude.ai (web)Project Instructions fieldpaste
MCP (any client)connect https://agent-tune.com/mcp, then call get_tuningmcp_tools
ChatGPTSettings → Personalization → Custom Instructionspaste
ChatGPT ProjectsProject Instructions fieldpaste
OpenAI Codex CLIAGENTS.md in project rootfile_write
Cursor.cursor/rules/agenttune.mdcfile_write
Gemini GemsCustom Instructions fieldpaste
Hermes CLI~/.hermes/agenttune.md — pass with --system or paste into the active persona's soul.system_promptfile_write
OpenClawAGENTS.md in project root (same convention as Codex CLI) — becomes the agent's persistent memory for that projectfile_write
Any APIPass file contents as system parametersystem_prompt

Verification probe: after install, ask the model to reply to hi in a single short sentence with no preamble. Expected: direct one-line greeting; no "Great question!", no bullet menu.

Protocol version 1 · see /llms.txt for the full library index and install protocol.

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